COVID癥狀追蹤程序

時(shí)間：2022-04-22 13:48:01 | 來(lái)源：行業(yè)動(dòng)態(tài)

時(shí)間：2022-04-22 13:48:01 來(lái)源：行業(yè)動(dòng)態(tài)

The [_COVID Symptom Tracker App_](https://covid.joinzoe.com "https://covid.joinzoe.com") was created by doctors and scientists at King's College London, Guys and St Thomas Hospitals working in partnership with ZOE Global Ltd a health science company. The app will be used to study the symptoms of COVID-19 and track the spread of the virus. This research is led by Prof. Tim Spector, professor of genetic epidemiology at Kings College London and director of TwinsUK. TwinsUK is a scientific study of 15,000 twins, which has been running for almost thirty years. As well as using the app to study symptoms in the general population TwinsUK will use it to understand how symptoms develop with 5000 participating twins.

COVID癥狀追蹤程序（https://covid.joinzoe.com）是由倫敦國(guó)王學(xué)院、蓋斯和圣托馬斯醫(yī)院的醫(yī)生和科學(xué)家與 健康科學(xué)公司ZOE Global Ltd共同開(kāi)發(fā)的。 該應(yīng)用程序可用于研究COVID-19的癥狀及跟蹤C(jī)OVID-19病毒的傳播。這項(xiàng)研究的負(fù)責(zé)人是倫敦國(guó)王學(xué)院基因流行病學(xué)教授、TwinsUK主管Tim Spector教授。TwinsUK是英國(guó)一項(xiàng)基于15,000對(duì)雙胞胎的科學(xué)研究，這項(xiàng)研究已經(jīng)做了近30年了。該程序除了用于研究普通人群的癥狀外也在TwinsUK研究里用于了解5000名雙胞胎的癥狀的發(fā)展。

This research aims to help scientists develop a better understanding of COVID-19. They will use the data to understand how fast the virus is spreading in specific areas, identify high risk areas, and to identify who is most at risk by better understanding symptoms linked to health conditions. The app gives researchers an opportunity to see how symptoms evolve over time in different risk groups, and to find patterns to who gets a mild disease. This information will be very important if there is a second wave of the virus later this year or next year. The app launched in the UK and 1.3 million people are already logging their symptoms. Thats 2% of the UK population. The app developers are working on a version for the US which they plan to release soon.

這項(xiàng)研究的目的是幫助科學(xué)家更好地了解COVID-19?？茖W(xué)家利用這些數(shù)據(jù)可以了解COVID-19病毒在特定區(qū)域傳播程度的快慢、確認(rèn)高風(fēng)險(xiǎn)區(qū)域及通過(guò)更好地了解與健康狀況相關(guān)的癥狀來(lái)確定誰(shuí)的風(fēng)險(xiǎn)高一些。該應(yīng)用程序使得研究人員有機(jī)會(huì)觀察病癥在不同風(fēng)險(xiǎn)群組里時(shí)間上的變化情況，還可以找到那些癥狀較輕患者的模式。如果今年晚些時(shí)候或明年第二次爆發(fā)COVID-19病毒，那么這些信息就會(huì)具有非常重要的意義。該應(yīng)用程序前一陣在英國(guó)推出，已經(jīng)有130萬(wàn)人在記錄他們的癥狀，占英國(guó)人口的2％。該應(yīng)用程序的開(kāi)發(fā)人員正在計(jì)劃為美國(guó)開(kāi)發(fā)一個(gè)版本，美國(guó)版本很快就會(huì)發(fā)布。

Now is the time to develop advanced techniques and approaches for next- generation RD. At this critical point, we should actively use DeepTech and frontier technologies to address the major risks and challenges facing us. We could start by incorporating currently available AI to improve vaccines and treatments to protect humans from infectious diseases. In the next article I will explore advanced RD and the most relevant AI technologies that are currently being developed to fight COVID19.

現(xiàn)在正是發(fā)展先進(jìn)的下一代研發(fā)技術(shù)和方法的大好時(shí)機(jī)。在這個(gè)關(guān)鍵時(shí)刻，我們應(yīng)該積極使用深度技術(shù)及前沿科技應(yīng)對(duì)我們面臨的主要風(fēng)險(xiǎn)和挑戰(zhàn)。我們可以先通過(guò)利用目前存在的AI技術(shù)改進(jìn)疫苗和治療方法，保護(hù)人類不受傳染病的侵害。